Try expanding the cropped image

face_detection.py

@@ -14,16 +14,43 @@ def getCroppedImages(image: Image.Image, cap = -1):
     face_locations_n = []
     outputs = []
     num = 0
+    # for f in face_locations:
+    #     # allow for capping the number of faces detected, helps prevent multiple faces being detected
+    #     # when there should only be one
+    #     if(cap != -1 and num >= cap):
+    #         break
+    #     c = (f[3], f[0], f[1], f[2])
+    #     outputs.append(image.crop(c))
+    #     face_locations_n.append(c)
+    #     num += 1
+        
+    # return face_locations_n, outputs
+    width, height = image.size  # Get image dimensions
     for f in face_locations:
-        # allow for capping the number of faces detected, helps prevent multiple faces being detected
-        # when there should only be one
-        if(cap != -1 and num >= cap):
+        if cap != -1 and num >= cap:
             break
-        c = (f[3], f[0], f[1], f[2])
+        # Original coordinates: (top, right, bottom, left)
+        top, right, bottom, left = f
+        # Center of the face rectangle
+        center_x = (left + right) / 2
+        center_y = (top + bottom) / 2
+        # Expanded dimensions
+        box_width = (right - left) * 1.3
+        box_height = (bottom - top) * 1.3
+        new_left = int(center_x - box_width / 2)
+        new_right = int(center_x + box_width / 2)
+        new_top = int(center_y - box_height / 2)
+        new_bottom = int(center_y + box_height / 2)
+        # Clamp to image boundaries
+        new_left = max(0, new_left)
+        new_right = min(width, new_right)
+        new_top = max(0, new_top)
+        new_bottom = min(height, new_bottom)
+        # Crop the image with the new coordinates
+        c = (new_left, new_top, new_right, new_bottom)
         outputs.append(image.crop(c))
         face_locations_n.append(c)
         num += 1
-        
     return face_locations_n, outputs